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Benish Ali
Pakistan
เข้าร่วมเมื่อ 15 มิ.ย. 2020
Non-stop Sound of Rain with Misty Miami Beach View
#meditation #relaxing #rainsoundsforsleeping #rain #rainsoundsforsleep #rainsounds #miamibeach #miami #sleepmusic #relaxation #soothingrelaxation #soothingsounds
Sound effects: TH-cam Audio Library
Sound effects: TH-cam Audio Library
มุมมอง: 110
วีดีโอ
Sea Lion Show Miami Seaquarium I Seal Show I Golden Dome
มุมมอง 7032 ปีที่แล้ว
Sea lion show in the Golden Dome of Miami Seaquarium, Miami, Florida, USA. #seal #sealions #sealife #seals #sealionshow #sealshow #miami #florida
30 Minutes Relaxing Rain Sound for Sleep ; Relaxation ; Meditation ; Music ; Miami ; Nature
มุมมอง 1472 ปีที่แล้ว
#relaxingmusic #relaxationmusic #sleepingmusic #meditation Relaxing and calming rain sound with a real scene of rain from Miami. Video is my own (copyrights: Benishots). The royalty free sound effect has been taken from TH-cam Audio Library.
The Sound of Rain and Hailstorm on Car
มุมมอง 2082 ปีที่แล้ว
#Benishots #relaxing #rain #thunderstorm #hailstorm #rainsounds Check my Instagram @ bizarreVision for some of these and related videos.
Why are Post Hoc Tests of ANOVA Required; How to do Least Significant Difference (LSD after ANOVA)
มุมมอง 8483 ปีที่แล้ว
#ANOVA 0:00 - 17:45 What are different types of ANOVA post-hoc tests and why are they required? 17:46 Least significant different test of ANOVA with solved example.
Recording Lecture 16 B Chi Square Goodness of Fit Test
มุมมอง 3763 ปีที่แล้ว
Recording Lecture 16 B Chi Square Goodness of Fit Test
Recording Lecture 16 A Chi Square Test of Homogeneity
มุมมอง 6523 ปีที่แล้ว
Recording Lecture 16 A Chi Square Test of Homogeneity
Probability in Statistics; Compound Probability; Critical Probability; Probability Distribution
มุมมอง 5023 ปีที่แล้ว
#probabilityandstatistics #probability #probabilitydistribution 00:00:01 Basic meaning of probability 00:04:51 Simple probability 00:28:26 Probability distribution 00:33:23 Compound probability 00:49:54 Simple vs compound probability 00:52:23 Solved probability problems from genetics 01:03:50 Critical probability
Chi Square; Test Analysis of Frequencies; Goodness-of-Fit; Test of Independence
มุมมอง 1.8K3 ปีที่แล้ว
#ChiSquare 0:00:01 Introduction and general procedure 0:04:21 Test of homogeneity and chi-square distribution table 0:17:34 Goodness-of-fit test 0:31:43 Unsolved sample exercises for homogeneity and goodness-of-fit teats 0:33:36 Test of independence or association introduction, and contingency tables 0:48:12 Explanation of test of independence
Experimental Designs; Latin Square Design; N-Way ANOVA; Multifactor; Multifactorial ANOVA
มุมมอง 50K4 ปีที่แล้ว
#biostatisticsintroductionapplications #parametric #ANOVA
Experimental Designs; Randomized Complete Block Design; RCBD; Two-Way ANOVA
มุมมอง 46K4 ปีที่แล้ว
#biostatisticsintroductionapplications #parametric #ANOVA
Experimental Designs; CRD; Completely Randomized Design; One-Way ANOVA
มุมมอง 32K4 ปีที่แล้ว
#CRD #ANOVA #biostasticsresearchandmethedology
Introduction to Experimental Designs; Principles; Randomization; Replication; Local Control
มุมมอง 33K4 ปีที่แล้ว
#biostatisticsintroductionapplications
LSD; Least Significant Difference; Post Hoc Test of ANOVA; Comparison of Means (Part B)
มุมมอง 7K4 ปีที่แล้ว
LSD; Least Significant Difference; Post Hoc Test of ANOVA; Comparison of Means (Part B)
LSD; Least Significant Difference; Post Hoc Test of ANOVA; Comparison of Means (Part A)
มุมมอง 32K4 ปีที่แล้ว
LSD; Least Significant Difference; Post Hoc Test of ANOVA; Comparison of Means (Part A)
Exercise One-Way ANOVA Calculation; One-Way ANOVA on MS Excel
มุมมอง 1.7K4 ปีที่แล้ว
Exercise One-Way ANOVA Calculation; One-Way ANOVA on MS Excel
ANOVA Computation; How is Analysis of Variance Done
มุมมอง 3K4 ปีที่แล้ว
ANOVA Computation; How is Analysis of Variance Done
How ANOVA Calculates Differences in Means? Variability: Within / Error, Between / Treatment
มุมมอง 2.9K4 ปีที่แล้ว
How ANOVA Calculates Differences in Means? Variability: Within / Error, Between / Treatment
Multiple Testing; Type 1 / Type 2 Error; Why is ANOVA Needed; One Way / Two Way ANOVA; Components
มุมมอง 3.1K4 ปีที่แล้ว
Multiple Testing; Type 1 / Type 2 Error; Why is ANOVA Needed; One Way / Two Way ANOVA; Components
Exercise Comparing Averages; Exercise for Unmatched & Matched T Test of Means; Student's T Test
มุมมอง 1.2K4 ปีที่แล้ว
Exercise Comparing Averages; Exercise for Unmatched & Matched T Test of Means; Student's T Test
Comparing Averages; Matched Dependent Sample T Test; Matched Dependent Sample T Test on Excel
มุมมอง 1.4K4 ปีที่แล้ว
Comparing Averages; Matched Dependent Sample T Test; Matched Dependent Sample T Test on Excel
Comparison of Averages / Means ; Student's T Test ; T Test on Excel; Unmatched / Independent Samples
มุมมอง 2K4 ปีที่แล้ว
Comparison of Averages / Means ; Student's T Test ; T Test on Excel; Unmatched / Independent Samples
Comparing Averages; Student's T-Test; Comparison of Mean Values; Matched & Unmatched Observations
มุมมอง 2.4K4 ปีที่แล้ว
Comparing Averages; Student's T-Test; Comparison of Mean Values; Matched & Unmatched Observations
Analyzing / Comparing Frequencies; Chi Square Test of Independence; Test of Association
มุมมอง 2.4K4 ปีที่แล้ว
Analyzing / Comparing Frequencies; Chi Square Test of Independence; Test of Association
Chi Square Test; Analyzing Frequencies; Goodness of Fit Test; Test of Homogeneity
มุมมอง 4.4K4 ปีที่แล้ว
Chi Square Test; Analyzing Frequencies; Goodness of Fit Test; Test of Homogeneity
Hypothesis Testing; Statistical Testing; Test Statistic; One-Tailed Two-Tailed Hypotheses / Tests
มุมมอง 4.7K4 ปีที่แล้ว
Hypothesis Testing; Statistical Testing; Test Statistic; One-Tailed Two-Tailed Hypotheses / Tests
Sampling Error; Standard Error of Mean; Confidence Interval
มุมมอง 4.9K4 ปีที่แล้ว
Sampling Error; Standard Error of Mean; Confidence Interval
Thank You So Much Mme
Thanks so much Mme 😊
🎉🎉
Good job ma'am. Students may also get help from my lecture of Biostatistics. th-cam.com/video/gV4IgOhYK3I/w-d-xo.htmlsi=7M5fepNlqwrHJsJ-
Not all heros wear capes. Thank you very much ❤
I have test for this today. Thanks for your help❤
Very nice explanation
Benish Ali, thank you very much. This is very helpful.
Wow i understood nothing
😂
😂😂
Thank you Madam
Ca i get the lecture as pdf thanka
Thank you madam, your lectures are really appreciated
Thank you madam
Very helpful
Thank you so much 😊, I want to become the best in our class ,God help me and God bless you ❤
Hey, so at (6:50) I think you made a mistake. To know the chance of a type 1 error based on 20 tests, you would not do 0.05*n (where n is the sample size), but you would do (1-0.05)^n. This would give you the percentage of chance of making a type 1 error. Also, at (9:59), to get the significance level needed, you would do 1- (1-0.05)^n based on the logic of the previous mistake. Except for that, it's a great video!
Thank you so much, this was so helpful
Mam I am so happy to find your channel.i am your old student from back in 2004 to 6 when I was doing MSc zoology .we were two sisters asma and yasmeen from mianwali.after so many years I am again benefitting from my genious teacher.lots of respect mam
Best explanation❤
Does it mean that class interval will always be 1?
could you please deeply explain independent factor?
This lecture really enhances my learning. Thank you very much.
Wonderful explanation
Thanks
Thank you ma’am you really made it comprehensive 😊😊
Glad it helped!
Your accent and voice is just like Katrina Kaif..❤❤
Thanks
You are wonderful Thank you for your efforts
So nice of you!
Thank you for these helpful lectures...I am wondering whether you have videos explaining more advanced statistics such as multivariate and ANCOVA......you have a talent and I hope you use it to help others.....I really appreciate your efforts
Thank you again.
Thank you for these helpful lectures...I am wondering whether you have videos explaining more advanced statistics such as multivariate and ANCOVA......you have a talent and should use to help others
Thanks for your support. I do have video on two-way ANOVA, but I will definitely try to explain multivariate ANOVA through SPSS.
The content and deliverance, both, are very good. However, adding the question statements (where and why) to use these methods will serve more towards consolidating the concepts and their long-term retention for utilization.
Thanks for the feedback
Why are you adding 1 in the range formula? Everywhere I look, range is just the highest value - lowest value.
Yes, range is lowest to highest value. Here specifically, range refers to range of scores, which is to calculate how many unit steps are there in the data.
@@benishali hi, I was asking the same question then I saw it here. What then is the range of scores", and what is the difference between that and the "range"? Thank you for these videos by the way; I'm currently doing a Biostatistics course and I'm *behind*, so these are helping me catch up!
Please I need your help
How could I help you?
Thank you!
You're welcome!
Very nice explanation and clearly well understood. Thanks a million! May God bless you!
You are most welcome and thanks for good wishes!
Thanks!
Very well explained.
Glad you liked it!
How to get s²
Thank you so much 😊
it very clear explanation
Glad to hear that!
Very well explanation how can i get your ppts..❤
Thanks. I am afraid PPTs won't be available.
@@benishali ok no problem
Perfect job!!! 👍
Thanks!
I am trying to repeat the analysis in JASP. What type of ANOVA should be used. I have entered weight as the dependant variable and treatment as a fixed factor.. If I enter the distance from river and dist from road then I am told there are less than 2 observations after grouping so an ANOVA test cant be run. ANy help would be greatly appreciated.
I do not understand where the sum x2 value of 11728.67 comes from. When I do the calculation it is 11940.43. What am I doing wrong?
(34.45×34.45)+(66.42×66.42)+(52.54×52.54)+(58.05×58.05) = 11728.67 The calculation in the video is correct. Please check if you're mistakenly adding the column total as well, i.e. 211.46. Because I guess that is the only source of mistake that you're doing.
@@benishali Thank you! you saw my mistake
Best explanation ✨🤌
Thanks
Wow very clear explainations. Thank you !
You are welcome!
You are welcome!
How did you get the variance ma'am
Divide sum of squares by degree of freedom and you'll get the variance.
Honestly ma'am, you are making me to develop more interest in statistics. Trust me, i'm your fan. Super grateful for real!
Thank you so much. I am honored.
should i have a basic knowledge in statistics before beginning your playlist?
I don't think so. You can start the series without prior knowledge of statistics.
@@benishali thank you a lot
This is way so interesting. Thanks for this.
Glad you liked it.
Concise and impressive, thanks a bunch
Glad it was helpful!
May God richly bless you and add more feathers to your cap.
Thanks a lot!
Thesis complete ANOVA Table CRD Design thanks